topsis implementation
Project description
Topsis
TOPSIS( Technique for order for preference by similarity to Ideal solution ) for MCDM (Multiple criteria decision making) in Python compiled by Simarjit Kaur Khangura, 102117028, TIET, Patiala.
Installation
Use the package manager pip to install.
pip install topsis-Simar-102117028
Usage
Enter csv filename followed by .csv extentsion, then enter the weights vector with vector values separated by commas, followed by the impacts vector with comma separated signs (+,-) and enter the output file name followed by .csv extension.
topsis-simar-102117028 [InputDataFile as .csv] [Weights as a string] [Impacts as a string] [ResultFileName as .csv]
License
© 2024 Simarjit Kaur Khangura
This repository is licensed under MIT License. See LICENSE for details.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file topsis-Simar-102117028-1.0.0.tar.gz.
File metadata
- Download URL: topsis-Simar-102117028-1.0.0.tar.gz
- Upload date:
- Size: 2.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b12f33388604418f32cb62f8679d133c9b43e87ab06e7645010f6c0dde77b62a
|
|
| MD5 |
59a048452a29752aa8ba0e7f24f342dd
|
|
| BLAKE2b-256 |
4234ae496f6064d883257bcc30729140365fbfe7a336a4abcd572de56e1ae842
|
File details
Details for the file topsis_Simar_102117028-1.0.0-py3-none-any.whl.
File metadata
- Download URL: topsis_Simar_102117028-1.0.0-py3-none-any.whl
- Upload date:
- Size: 2.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7028379da4501418dbeda279f4e59b8091ea0ccf4feebb19f141ff4356deea0b
|
|
| MD5 |
c629a58b7513e38aa95ead958fe28f72
|
|
| BLAKE2b-256 |
acc3a8e924604985fdd15e81a415d479e165b92665331bea0fbf06b3cb595cc0
|
